Modeling and optimization of a wastewater pumping system with data-mining methods
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DOI: 10.1016/j.apenergy.2015.11.061
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Cited by:
- Filipe, Jorge & Bessa, Ricardo J. & Reis, Marisa & Alves, Rita & Póvoa, Pedro, 2019. "Data-driven predictive energy optimization in a wastewater pumping station," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
- Zong Woo Geem & Sung Yong Chung & Jin-Hong Kim, 2018. "Improved Optimization for Wastewater Treatment and Reuse System Using Computational Intelligence," Complexity, Hindawi, vol. 2018, pages 1-8, April.
- Torregrossa, Dario & Hansen, Joachim & Hernández-Sancho, Francesc & Cornelissen, Alex & Schutz, Georges & Leopold, Ulrich, 2017. "A data-driven methodology to support pump performance analysis and energy efficiency optimization in Waste Water Treatment Plants," Applied Energy, Elsevier, vol. 208(C), pages 1430-1440.
- Zong Woo Geem & Jin-Hong Kim, 2016. "Sustainable Optimization for Wastewater Treatment System Using PSF-HS," Sustainability, MDPI, vol. 8(4), pages 1-13, March.
- Francesco Calise & Francesco Liberato Cappiello & Massimo Dentice d’Accadia & Alessandra Infante & Maria Vicidomini, 2020. "Modeling of the Anaerobic Digestion of Organic Wastes: Integration of Heat Transfer and Biochemical Aspects," Energies, MDPI, vol. 13(11), pages 1-23, May.
- Francesco Calise & Ursula Eicker & Juergen Schumacher & Maria Vicidomini, 2020. "Wastewater Treatment Plant: Modelling and Validation of an Activated Sludge Process," Energies, MDPI, vol. 13(15), pages 1-20, July.
- Arun Shankar, Vishnu Kalaiselvan & Umashankar, Subramaniam & Paramasivam, Shanmugam & Hanigovszki, Norbert, 2016. "A comprehensive review on energy efficiency enhancement initiatives in centrifugal pumping system," Applied Energy, Elsevier, vol. 181(C), pages 495-513.
- Akbaş, Halil & Bilgen, Bilge, 2017. "An integrated fuzzy QFD and TOPSIS methodology for choosing the ideal gas fuel at WWTPs," Energy, Elsevier, vol. 125(C), pages 484-497.
- Kan, Guangyuan & Zhang, Mengjie & Liang, Ke & Wang, Hao & Jiang, Yunzhong & Li, Jiren & Ding, Liuqian & He, Xiaoyan & Hong, Yang & Zuo, Depeng & Bao, Zhenxin & Li, Chaochao, 2018. "Improving water quantity simulation & forecasting to solve the energy-water-food nexus issue by using heterogeneous computing accelerated global optimization method," Applied Energy, Elsevier, vol. 210(C), pages 420-433.
- Katarzyna Gładyszewska-Fiedoruk & Maria Jolanta Sulewska, 2020. "Thermal Comfort Evaluation Using Linear Discriminant Analysis (LDA) and Artificial Neural Networks (ANNs)," Energies, MDPI, vol. 13(3), pages 1-15, January.
- Johnson, Hilary A. & Simon, Kevin P. & Slocum, Alexander H., 2021. "Data analytics and pump control in a wastewater treatment plant," Applied Energy, Elsevier, vol. 299(C).
- Oreste Fecarotta & Armando Carravetta & Maria Cristina Morani & Roberta Padulano, 2018. "Optimal Pump Scheduling for Urban Drainage under Variable Flow Conditions," Resources, MDPI, vol. 7(4), pages 1-20, November.
- Vo, Nguyen Dat & Oh, Dong Hoon & Kang, Jun-Ho & Oh, Min & Lee, Chang-Ha, 2020. "Dynamic-model-based artificial neural network for H2 recovery and CO2 capture from hydrogen tail gas," Applied Energy, Elsevier, vol. 273(C).
- Zhang, Chaobo & Xue, Xue & Zhao, Yang & Zhang, Xuejun & Li, Tingting, 2019. "An improved association rule mining-based method for revealing operational problems of building heating, ventilation and air conditioning (HVAC) systems," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
- Xiaoli Feng & Baoyun Qiu & Yongxing Wang, 2020. "Optimizing Parallel Pumping Station Operations in an Open-Channel Water Transfer System Using an Efficient Hybrid Algorithm," Energies, MDPI, vol. 13(18), pages 1-19, September.
- Olszewski, Pawel & Arafeh, Jamal, 2018. "Parametric analysis of pumping station with parallel-configured centrifugal pumps towards self-learning applications," Applied Energy, Elsevier, vol. 231(C), pages 1146-1158.
- Prince, & Hati, Ananda Shankar, 2021. "A comprehensive review of energy-efficiency of ventilation system using Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
- Levon Gevorkov & José Luis Domínguez-García & Lluis Trilla Romero, 2022. "Review on Solar Photovoltaic-Powered Pumping Systems," Energies, MDPI, vol. 16(1), pages 1-21, December.
- Panagiotis Karadimos & Leonidas Anthopoulos, 2023. "Machine Learning-Based Energy Consumption Estimation of Wastewater Treatment Plants in Greece," Energies, MDPI, vol. 16(21), pages 1-20, November.
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Keywords
Neural network; Pumping system; Energy saving; Artificial immune network algorithm; Bi-objective optimization; Data mining;All these keywords.
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